{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:23:58Z","timestamp":1740169438011,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC0807805"],"award-info":[{"award-number":["2018YFC0807805"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3466013","type":"journal-article","created":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T17:29:20Z","timestamp":1727112560000},"page":"138736-138750","source":"Crossref","is-referenced-by-count":0,"title":["Integrating Forward Modeling and Deep Learning for Precise Detection of Geological Anomalies in Coal Seams Using the Radio Imaging Method"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6327-7504","authenticated-orcid":false,"given":"Shun","family":"Yang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1793-8393","authenticated-orcid":false,"given":"Yanqing","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinan","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingwei","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2950-7103","authenticated-orcid":false,"given":"Zhifang","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Manufacturing, Chongqing Vocational College of Light Industry, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.tust.2016.12.011"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/mgrs.2018.2890677"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.measurement.2013.11.016"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1071\/eg13057"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.6028\/jres.089.022"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/0022-5193(70)90109-8"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/0022-5193(72)90180-4"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0024-3795(81)90139-7","article-title":"Iterative algorithms for large partitioned linear systems, with applications to image reconstruction","volume":"40","author":"Eggermont","year":"1981","journal-title":"Linear Algebra Appl."},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/BF01589408","article-title":"Parallel application of block-iterative methods in medical imaging and radiation therapy","volume":"42","author":"Censor","year":"1988","journal-title":"Math. Program."},{"year":"2014","author":"Dong","article-title":"Regularization method of radio wave tomography","key":"ref10"},{"year":"2016","author":"Yue","article-title":"Study on the propagation law of electromagnetic wave in coal seam and its full waveform probabilistic inversion method","key":"ref11"},{"year":"2020","author":"Guo","article-title":"Research on transparency system of working face based on multi-source data collaboration and intelligent algorithms","key":"ref12"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.3390\/app9071493"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.3390\/app9132611"},{"issue":"11","key":"ref15","first-page":"3623","article-title":"Intelligent inversion method of electromagnetic wave CT detection withinworking face under the constraint of multi-source information fusion","volume":"46","author":"Guo","year":"2021","journal-title":"J. China Coal Soc."},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.3390\/su12051809"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.cageo.2015.08.012","article-title":"Forward modeling of radio imaging (RIM) data with the Comsol RF module","volume":"85","author":"Li","year":"2015","journal-title":"Comput. Geosci."},{"issue":"2","key":"ref18","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1111\/1365-2478.12516","article-title":"Modelling and straight-ray tomographic imaging studies of cross-hole radio-frequency electromagnetic data for mineral exploration","volume":"66","author":"Li","year":"2018","journal-title":"Geophys. Prospecting"},{"year":"2017","author":"Li","article-title":"Forward modelling and imaging method studies for cross-hole radio imaging (RIM) data","key":"ref19"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.jappgeo.2018.01.003"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/j.jappgeo.2018.12.002"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/JSTARS.2023.3334201"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1016\/j.isprsjprs.2019.04.015"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/MGRS.2016.2540798"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/MGRS.2017.2762307"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.isprsjprs.2019.11.023","article-title":"Object detection in optical remote sensing images: A survey and a new benchmark","volume":"159","author":"Li","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/TPAMI.2021.3059968"},{"key":"ref28","article-title":"A review on deep learning techniques applied to semantic segmentation","author":"Garcia-Garcia","year":"2017","journal-title":"arXiv:1704.06857"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref30","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"Chen","year":"2016","journal-title":"arXiv:1412.7062"},{"key":"ref31","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","author":"Chen","year":"2017","journal-title":"arXiv:1606.00915"},{"key":"ref32","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/jstars.2023.3335891"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1007\/978-3-319-24574-4_28"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/lgrs.2022.3173300"},{"key":"ref36","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"arXiv:1706.03762"},{"key":"ref37","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"arXiv:2010.11929"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/jstars.2022.3190071"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.48550\/arXiv.2102.04306"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1016\/j.isprsjprs.2022.06.008"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1109\/tgrs.2022.3169479"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1109\/tgrs.2022.3144165"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1016\/j.bspc.2023.104791"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.1109\/jstars.2018.2834961"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1109\/3DV.2016.79"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10685413.pdf?arnumber=10685413","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T20:04:09Z","timestamp":1736885049000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10685413\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3466013","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}